Fix linting

feat: Integrate Jina embeddings API support

feat: Add SSL support for PostgreSQL database connections

Increase Neo4j connection pool size and timeouts

Enhance Redis connection handling with retries and timeouts

Set DEFAULT_HISTORY_TURNS to 0

Increase default related chunk number from 5 to 10

Centralize query parameters into LightRAG class

Update env.example

Merge branch 'main' into rerank

feat: centralize environment variable defaults in constants.py

Update QueryParam

feat: remove deprecated MAX_TOKEN_SUMMARY parameter to prevent LLM output truncation

remove chunk_rerank_top_k

Revert "update from main"

update from main

Merge branch 'main' into rerank

Update token limit

feat: Refine summary logic and add dedicated Ollama num_ctx config

Reduce embedding concurrency limit from 16 to 8

Update env.example

Merge branch 'main' into rerank

Merge branch 'add-Memgraph-graph-db' into memgraph

Update env.example

add changes based on review

Add rerank to server

Merge branch 'main' into rerank

update chunks truncation method

Simplify Configuration

Reduce default embedding batch size from 32 to 10

Update env.example

Update env.example

add rerank model

Update env.example

Update env.example

Add NEO4J_WORKSPACE env var override support

Feat: Add WORKSPACE support to all storage types

Update env example

Update env.example

Implemented storage types: PostgreSQL and MongoDB

Add max_gleaning to env

Add max_gleaning to env

Resolve confusion between azure embedding and completion environment variables

Update env sample file for Azure

Update env sample file

Fix linting

Fix linting

Update env sample file

Fix env.sample

Update env sample file